Researchers and educators at a US academic or non-profit research institutions can apply for Bridges access through the NSF's XSEDE program. The Bridges FAQ provides more information on how to apply to Bridges through XSEDE. Three types of access are available:

Start-up allocations allow you to explore high-performance computing and Bridges. The application process is streamlined and you can request up to 2500 GPU-hours on Bridges GPU nodes, up to 1500 GPU-hours on Bridges GPU-AI nodes, up to 50,000 core-hours on Bridges' "regular" (128GB memory) nodes, up to 1000 TB-hours on Bridges "large" (3 and 12TB memory) nodes, or any combination of those resources. See https://portal.xsede.org/allocations/startup for details on applying.

Every Bridges user needs access to Pylon storage, but it is not granted automatically; it must be specifically requested in the Add User process.

In addition, the PI must specify any other Bridges' resources granted to the allocation that you should have access to. These can include RM nodes, GPU nodes and/or LSM nodes.

Choose your tools

Bridges is a uniquely capable resource for empowering new research communities and bringing together HPC, AI and Big Data. It is designed to support familiar, convenient software and environments for both traditional and non-traditional HPC users. Its richly-connected set of interacting systems offers exceptional flexibility for data analytics, simulation, workflows and gateways, leveraging interactivity, parallel computing, Spark and Hadoop.

A sampling of Bridges' tools which will enable your work includes:

Compute nodes with hardware-supported shared memory ranging from 128GB to 12TB per node to support genomics, machine learning, graph analytics and other fields where partitioning data is impractical

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Bridges

... is a uniquely capable resource for empowering new research communities and bringing together HPC and Big Data. Bridges is designed to support familiar, convenient software and environments for both traditional and non-traditional HPC users.

Pittsburgh Supercomputing Center is a joint effort of Carnegie Mellon University and University of Pittsburgh.